Notícias

Supercharged Searching on the 🤗 Hub↗

Text and code embeddings by contrastive pre-training↗

Welcome Stable-baselines3 to the Hugging Face Hub 🤗↗

Case Study: Millisecond Latency using Hugging Face Infinity and modern CPUs↗

Boosting Wav2Vec2 with n-grams in 🤗 Transformers↗

Deploy GPT-J 6B for inference using Hugging Face Transformers and Amazon SageMaker↗

Active Learning with AutoNLP and Prodigy↗

Gradio is joining Hugging Face!↗

WebGPT: Improving the factual accuracy of language models through web browsing↗

We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.

Perceiver IO: a scalable, fully-attentional model that works on any modality↗

Customizing GPT-3 for your application↗

Fine-tune with a single command.

Training CodeParrot 🦜 from Scratch↗

Introducing Snowball Fight ☃️, our first ML-Agents environment↗

OpenAI Residency↗

As part of our effort to support and develop AI talent, we’re excited to announce the OpenAI Residency.

Getting Started with Hugging Face Transformers for IPUs with Optimum↗

Introducing the Data Measurements Tool: an Interactive Tool for Looking at Datasets↗

Accelerating PyTorch distributed fine-tuning with Intel technologies↗

OpenAI’s API now available with no waitlist↗

Wider availability made possible by safety progress.

Fine-Tune XLSR-Wav2Vec2 for low-resource ASR with 🤗 Transformers↗

Scaling up BERT-like model Inference on modern CPU - Part 2↗